Steven A. Combs

495 total citations
11 papers, 327 citations indexed

About

Steven A. Combs is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Steven A. Combs has authored 11 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 5 papers in Materials Chemistry. Recurrent topics in Steven A. Combs's work include Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (5 papers) and Enzyme Structure and Function (4 papers). Steven A. Combs is often cited by papers focused on Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (5 papers) and Enzyme Structure and Function (4 papers). Steven A. Combs collaborates with scholars based in United States, Austria and Germany. Steven A. Combs's co-authors include Jens Meiler, Gordon Lemmon, Elizabeth D. Nguyen, Jonathan H. Sheehan, D.P. Nannemann, Jordan R. Willis, Samuel DeLuca, Suntara Cahya, Christos A. Nicolaou and Ji‐Bo Wang and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Steven A. Combs

9 papers receiving 324 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Steven A. Combs United States	7	244	85	69	35	27	11	327
Stefania Pfeiffer‐Marek Germany	11	254 1.0×	78 0.9×	48 0.7×	31 0.9×	44 1.6×	14	329
Henrik Keränen Sweden	10	313 1.3×	107 1.3×	50 0.7×	42 1.2×	17 0.6×	10	420
Zhen Wah Tan Singapore	10	305 1.3×	149 1.8×	29 0.4×	25 0.7×	36 1.3×	14	371
Marc Fasnacht United States	6	261 1.1×	45 0.5×	90 1.3×	20 0.6×	47 1.7×	8	348
Hsu‐Chun Tsai United States	6	300 1.2×	144 1.7×	94 1.4×	12 0.3×	16 0.6×	8	390
Ramakrishna Vadrevu India	11	269 1.1×	47 0.6×	130 1.9×	13 0.4×	13 0.5×	21	351
Johanna K. S. Tiemann Germany	10	327 1.3×	69 0.8×	40 0.6×	103 2.9×	37 1.4×	15	457
Beihong Ji United States	12	360 1.5×	169 2.0×	65 0.9×	29 0.8×	15 0.6×	33	507
Mariusz Butkiewicz United States	9	138 0.6×	113 1.3×	55 0.8×	19 0.5×	17 0.6×	17	231
Jaime L. Stark United States	13	287 1.2×	55 0.6×	58 0.8×	10 0.3×	16 0.6×	14	403

Countries citing papers authored by Steven A. Combs

Since Specialization

Citations

This map shows the geographic impact of Steven A. Combs's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Steven A. Combs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven A. Combs more than expected).

Fields of papers citing papers by Steven A. Combs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven A. Combs. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Steven A. Combs. The network helps show where Steven A. Combs may publish in the future.

Co-authorship network of co-authors of Steven A. Combs

This figure shows the co-authorship network connecting the top 25 collaborators of Steven A. Combs. A scholar is included among the top collaborators of Steven A. Combs based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven A. Combs. Steven A. Combs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Scott, Thomas Allan, Christian A. Smethurst, Moriz Mayer, et al.. (2025). Drugit: crowd-sourcing molecular design of non-peptidic VHL binders. Nature Communications. 16(1). 3548–3548.

2.

Wang, Zichen, Ryan Brand, Jared Adolf‐Bryfogle, et al.. (2024). EGGNet, a Generalizable Geometric Deep Learning Framework for Protein Complex Pose Scoring. ACS Omega. 9(7). 7471–7479. 2 indexed citations

3.

Wang, Zichen, et al.. (2022). LM-GVP: an extensible sequence and structure informed deep learning framework for protein property prediction. Scientific Reports. 12(1). 6832–6832. 42 indexed citations

4.

Combs, Steven A., Benjamin K. Mueller, & Jens Meiler. (2018). Holistic Approach to Partial Covalent Interactions in Protein Structure Prediction and Design with Rosetta. Journal of Chemical Information and Modeling. 58(5). 1021–1036. 4 indexed citations

5.

Zhou, Yadi, Suntara Cahya, Steven A. Combs, et al.. (2018). Exploring Tunable Hyperparameters for Deep Neural Networks with Industrial ADME Data Sets. Journal of Chemical Information and Modeling. 59(3). 1005–1016. 54 indexed citations

6.

Combs, Steven A., et al.. (2013). Computational design of protein-small molecule interfaces. Journal of Structural Biology. 185(2). 193–202. 22 indexed citations

7.

Combs, Steven A., Samuel DeLuca, Gordon Lemmon, et al.. (2013). Small-molecule ligand docking into comparative models with Rosetta. Nature Protocols. 8(7). 1277–1298. 134 indexed citations

8.

Henry, L. Keith, Hideki Iwamoto, Julie R. Field, et al.. (2011). A Conserved Asparagine Residue in Transmembrane Segment 1 (TM1) of Serotonin Transporter Dictates Chloride-coupled Neurotransmitter Transport. Journal of Biological Chemistry. 286(35). 30823–30836. 31 indexed citations

9.

Bowman, Elizabeth A., Brent M. Dorr, Steven A. Combs, et al.. (2011). Exploring Symmetry as an Avenue to the Computational Design of Large Protein Domains. Journal of the American Chemical Society. 133(45). 18026–18029. 28 indexed citations

10.

Bowman, Elizabeth A., Brent M. Dorr, Steven A. Combs, et al.. (2011). Exploring Symmetry as an Avenue to the Computational Design of Large Protein Domains. Journal of the American Chemical Society. 133(51). 21028–21028.

11.

Combs, Steven A., Kristian Kaufmann, Julie R. Field, Randy Blakely, & Jens Meiler. (2010). Y95 and E444 Interaction Required for High-Affinity S-Citalopram Binding in the Human Serotonin Transporter. ACS Chemical Neuroscience. 2(2). 75–81. 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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